Jorge Alsip

539 total citations
4 papers, 11 citations indexed

About

Jorge Alsip is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jorge Alsip has authored 4 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Oncology. Recurrent topics in Jorge Alsip's work include Machine Learning in Healthcare (3 papers), Infection Control and Ventilation (1 paper) and COVID-19 epidemiological studies (1 paper). Jorge Alsip is often cited by papers focused on Machine Learning in Healthcare (3 papers), Infection Control and Ventilation (1 paper) and COVID-19 epidemiological studies (1 paper). Jorge Alsip collaborates with scholars based in United States. Jorge Alsip's co-authors include Rachael A Lee, William S. Stigler, Nancy E. Dunlap, Russell Griffin, Sixto M. Leal, Jeanne Marrazzo, Joe K. Gerald and Sarah Nafziger and has published in prestigious journals such as Clinical Infectious Diseases and CHEST Journal.

In The Last Decade

Jorge Alsip

4 papers receiving 11 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jorge Alsip United States	2	6	4	3	3	3	4	11
Walker Tordsen United States	1	8 1.3×	2 0.5×	1 0.3×	3 1.0×		2	12
Yuxin Mi Ireland	2	8 1.3×	2 0.5×	2 0.7×		1 0.3×	2	11
Laia Lorenzo-Esteller Spain	2	7 1.2×		2 0.7×		3 1.0×	2	14
Varun Sarodaya United Kingdom	2	4 0.7×		3 1.0×		4 1.3×	3	11
İskender Kög Türkiye	2	4 0.7×	1 0.3×	2 0.7×		2 0.7×	2	6
В. А. Артеменко Russia	2	3 0.5×	2 0.5×			2 0.7×	6	5
В. К. Тащук Ukraine	4	8 1.3×		2 0.7×		4 1.3×	22	34
C. Harkness United States	2	10 1.7×	1 0.3×	3 1.0×		3 1.0×	2	14
Pasquale Mollo Italy	2	5 0.8×		3 1.0×			6	6
N M S De Groot Netherlands	2	6 1.0×		4 1.3×			3	9

Countries citing papers authored by Jorge Alsip

Since Specialization

Citations

This map shows the geographic impact of Jorge Alsip's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jorge Alsip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Alsip more than expected).

Fields of papers citing papers by Jorge Alsip

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Alsip. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jorge Alsip. The network helps show where Jorge Alsip may publish in the future.

Co-authorship network of co-authors of Jorge Alsip

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Alsip. A scholar is included among the top collaborators of Jorge Alsip based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorge Alsip. Jorge Alsip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Griffin, Russell, Sixto M. Leal, Jorge Alsip, et al.. (2020). Decreasing High-risk Exposures for Healthcare Workers Through Universal Masking and Universal Severe Acute Respiratory Syndrome Coronavirus 2 Testing on Entry to a Tertiary Care Facility. Clinical Infectious Diseases. 73(9). e3113–e3115. 5 indexed citations

2.

Gerald, Joe K., et al.. (2011). Predictors Of In-Hospital Mortality Among Patients Identified As Having Severe Sepsis By An Automated Clinical Decision Rule. A4696–A4696. 1 indexed citations

3.

Gerald, Joe K., et al.. (2011). Pattern Of Clinical And Laboratory Abnormalities Among Hospitalized Patients Identified As Having Severe Sepsis By An Automated Clinical Decision Rule. A3860–A3860. 1 indexed citations

4.

Gerald, Joe K., et al.. (2011). Using the EMR to Perform Continuous, Automated, Real-time Surveillance to Identify Hospitalized Patients at Risk of Sepsis. CHEST Journal. 140(4). 426A–426A. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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